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检索条件"任意字段=3rd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006"

共 148 条记录，以下是101-110 订阅

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Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions

Constraint Integration for Multiview Pose Estimation of Huma...

引用

international symposium on 3d data processing visualization and transmission

作者： Abhinav Gupta Anurag Mittal Larry S. davis Department of Computer Science University of Maryland College Park MD USA Department of Computer Science IIT Madras Chennai India

detection of articulated objects such as humans is an important task in computer vision. We present a system that incorporates a variety of constraints in a unified multi- view framework to automatically detect humans in possibly crowded scenes. These constraints include the kinematic constraints, the occlusion of one part by another and the high correlation between the appearance of parts such as the two arms. The graphical structure (non-tree) obtained is optimized in a nonparametric belief propagation framework using prior based search.

关键词： Humans Computer science Layout Kinematics Tree data structures Cameras Educational institutions Computer vision Belief propagation Biological system modeling

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Compression of Human Motion data Sequences

Compression of Human Motion Data Sequences

引用

international symposium on 3d data processing visualization and transmission

作者： Guodong Liu Leonard McMillan Department of Computer Science University of North Carolina Chapel Hill Chapel Hill NC USA

As more and more human motion data are widely used to animate computer graphics figures in many applications, there is an imperative need to compress motion data for compact storage and fast transmission. We propose a data-driven method for efficient compression of human motion sequences by exploiting both spatial and temporal coherences of the data. We first segment a motion sequence into subsequences such that the poses within a subsequence lie near a low dimensional linear space. We then compress each segment using the principal component analysis. Further compression is achieved by storing only the key frames' projections to the principal component space and interpolating the other frames in-between the key frames via spline functions. The experimental results show that our method can achieve significant compression rate with low reconstruction errors.

关键词： Humans Principal component analysis Animation Spline Linearity Computer science Computer graphics Application software Internet Games

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A Perceptually driven Model for transmission of Arbitrary 3d Models over Unreliable Networks

A Perceptually Driven Model for Transmission of Arbitrary 3D...

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international symposium on 3d data processing visualization and transmission

作者： Irene Cheng Lihang Ying Anup Basu Department of Computing Science University of Alberta Edmonton AB Canada

3d transmission over unreliable networks needs to take into account the possibility of packet loss. In this work we describe a perceptually motivated strategy for joint transmission of texture and mesh over unreliable networks. The approach is described initially considering regular mesh structure, to show the utility of optimizing the texture-mesh tradeoff. In order to generalize our approach to arbitrary meshes we consider stripification of the mesh, combined with a strategy that does not need texture or vertex packets to be re-transmitted. Only the valence (connectivity) packets need to be re-transmitted; however, storage of valence information requires only 10% space compared to vertices and even less compared to photo-realistic texture. Thus, only less than 5% of the packets may need to be re-transmitted in the worst case to allow our algorithm to successfully reconstruct an acceptable object under severe packet loss. Results showing the implementation of the proposed approach are described.

关键词： Propagation losses Wireless mesh networks Wireless application protocol Interpolation degradation Computer networks Costs Color Geometry Humans

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direct and Indirect 3-d Reconstruction from Opti-Acoustic Stereo Imaging

Direct and Indirect 3-D Reconstruction from Opti-Acoustic St...

引用

international symposium on 3d data processing visualization and transmission

作者： H. Sekkati S. Negahdaripour Electrical and Computer Engineering University of Miami Miami FL USA

Utilization of an acoustic camera for range measurements is a significant advantage for 3d shape recovery of underwater targets by opti-acoustic stereo imaging, where the associated epipolar geometry of visual and acoustic image correspondences is described in terms of conic sections and trigonometric functions. In this paper, we propose and analyze a number of methods based on direct and indirect approaches that provide insight on the merits of the new imaging and 3d object reconstruction paradigm. We have devised certain indirect methods, built on a regularization formulation, to first compute from noisy correspondences maximum likelihood estimates that satisfy the epipolar geometry. The 3d target points can then be determined from a number of closed-form solutions applied to these ML estimates. An alternative direct approach is also presented for 3d reconstruction directly from noisy correspondences. Computer simulations verify consistency between the analytical and experimental reconstruction SNRs - the criterion applied in performance assessment of these various solutions.

关键词： Three dimensional displays Stereo image processing Acoustic imaging Image reconstruction Underwater acoustics Shape measurement Maximum likelihood estimation Cameras Acoustic measurements Geometry

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An Improved 3d Human Face Reconstruction Approach Based on Cubic Splines Models

An Improved 3D Human Face Reconstruction Approach Based on C...

引用

international symposium on 3d data processing visualization and transmission

作者： Boulbaba Ben Amor Mohsen Ardabilian Liming Chen MI Department Ecole Centrale de Lyon LIRIS Laboratory-CNRS Lyon France

In this paper, we develop a new hybrid active vision/geometric modeling approach dedicated to 3d human face recovery. Initially, a 3d coarse reconstruction is obtained via a structured-light assisted stereo sensor. Here, the stereo matching problem is resolved through two main stages: (a) sub-pixel stripe edge localization of projected patterns of light, and (b) correspondences establishing based on adaptive dynamic programming optimization technique. Next, the introduction of smooth interpolation models achieves the fine reconstruction. Here, cubic spline curves are employed in order to improve the quality of the reconstructed models. Indeed, they allow us to produce dense and details preserving reconstructions by following the control points from the coarse reconstruction stage. Furthermore, we present some reconstruction results and discuss both qualitative and quantitative evaluations of the proposed reconstruction scheme.

关键词： Humans Image reconstruction Face recognition Face detection Laboratories Facial animation Optical distortion data mining Optical sensors Authentication

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On 3d Retrieval from Photos

On 3D Retrieval from Photos

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international symposium on 3d data processing visualization and transmission

作者： Tarik Filali Ansary Jean-Phillipe Vandeborre Mohamed daoudi (LIFL UMR 8022 CNRS/USTL)(GET/INT-Telecom Lille 1) FOX-MIIRE Research Group USA

In this paper, we propose a method for 3d-model retrieval from one or more photos. This method provides an "optimal" selection of 2d views to represent a 3d-model, and a probabilistic Bayesian method for 3d-model retrieval from realistic photos and sketches using these views. The characteristic view selection algorithm is based on an adaptive clustering algorithm and uses statistical model distribution scores to select the optimal number of views. We also introduce a Bayesian approach to score the probability of correspondence between the queries and the 3d-models. We present our results on the Princeton 3d Shape Benchmark database (1814 3d-models) and 50 photos (real photographs, sketches, synthesised images). A practical on-line 3d-model retrieval system based on our approach is available on the web to asset our results.

关键词： Search engines Shape Bayesian methods Image databases Visual databases Clustering algorithms Electric shock Indexing Telecommunications Probability

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Multi-Chart Geometry Video: A Compact Representation for 3d Animations

Multi-Chart Geometry Video: A Compact Representation for 3D ...

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international symposium on 3d data processing visualization and transmission

作者： Khaled Mamou Titus Zaharia Francoise Preteux Institut National des Télécommunications / ARTEMIS Department Groupe des Ecoles des Télécommunications Evry France

This paper introduces a new compression scheme, so- called Multi-Chart Geometry Video (MCGV), for 3d dynamic meshes with constant connectivity and time-varying geometry. The core of the proposed method is a piecewise affine predictor coupled with a Multi-Chart Geometry IMage (MCGIM) representation of the residual errors. The mesh is first partitioned into vertex clusters whose motion can be accurately described by a unique 3d affine transform. The prediction errors are represented as MCGIMs which are compressed by using standardized image encoders such as JPEG and MPEG-4. The performances of our encoder are objectively evaluated on a data set of six animation sequences with various sizes, geometries and topologies, and exhibiting both rigid and elastic motions. The experimental evaluation shows that the proposed MCGV achieves up to 60% lower compression distortions than the geometry video approach, while outperforming (with 30% to 94% lower distortions) the RT, MPEG-4IAFX-IC, d3dMC, PCA and dynapack techniques.

关键词： Geometry Animation Image coding Video compression MPEG 4 Standard Performance evaluation Topology Bones Protection Transform coding

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Graph Cut Based Multiple View Segmentation for 3d Reconstruction

Graph Cut Based Multiple View Segmentation for 3D Reconstruc...

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international symposium on 3d data processing visualization and transmission

作者： Mario Sormann Christopher Zach Konrad Karner VRVis Research Center Graz Austria

In this paper we propose a novel framework for efficiently extracting foreground objects in so called short-baseline image sequences. We apply the obtained segmentation to improve subsequent 3d reconstruction results. Essentially, our framework combines a graph cut based optimization algorithm with an intuitive user interface. At first a meanshift segmentation algorithm partitions each image of the sequence into a certain number of regions. Additionally we provide an intelligent graphical user interface for easy specification of foreground as well as background regions across all images of the sequence. Within the graph cut optimization algorithm we define new energy terms to increase the robustness and to keep the segmentation of the foreground object coherent across all images of the sequence. Finally, a refined graph cut segmentation and several adjustment operations allow an accurate and effective foreground extraction. The obtained results are demonstrated on several real world data sets.

关键词： Image segmentation Image reconstruction Image sequences Robustness Humans Partitioning algorithms Graphical user interfaces Image analysis Video sequences User interfaces

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ShapeLab: A Unified Framework for 2d & 3d Shape Retrieval

ShapeLab: A Unified Framework for 2D & 3D Shape Retrieval

引用

international symposium on 3d data processing visualization and transmission

作者： Jiantao Pu Karthik Ramani Purdue Research and Education Center for Information Systems in Engineering (PRECISE) Purdue University West Lafayette IN USA

2d or 3d shapes are the most important visual information that we use to recognize an object. We propose a unified framework "ShapeLab" to search similar 2d or 3d shapes from an existing database. Users can search 3d shapes with a 2d input, and vice versa. ShapeLab is composed of four key components: (1) pose determination for 3d models; (2) 2d orthogonal view generation based on multiple levels of detail; (3) similarity measurement between 2d shapes; and (4) freehand sketch-based user interface. Key algorithms supporting the above components are briefly described. Experiments show ShapeLab can provide a better performance such as high accuracy, flexibility and scalability compared to the available methods.

关键词： Shape measurement Information retrieval User interfaces Systems engineering education Information systems Systems engineering and theory Visual databases Scalability Extraterrestrial measurements Robustness

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A Probabilistic Notion of Correspondence and the Epipolar Constraint

A Probabilistic Notion of Correspondence and the Epipolar Co...

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international symposium on 3d data processing visualization and transmission

作者： Justin domke Yiannis Aloimonos Computer Vision Laboratory Department of Computer Science University of Maryland College Park MD USA

We present a probabilistic framework for correspondence and egomotion. First, we suggest computing probability distributions of correspondence. This has the advantage of being robust to points subject to the aperture effect and repetitive structure, while giving up no information at feature points. Additionally, correspondence probability distributions can be computed for every point in the scene. Next, we generate a probability distribution over the motions, from these correspondence probability distributions, through a probabilistic notion of the epipolar constraint. Finding the maximum in this distribution is shown to be a generalization of least-squared epipolar minimization. We will show that because our technique allows so much correspondence information to be extracted, more accurate ego- motion estimation is possible.

关键词： Probability distribution Computer vision distributed computing Robustness Layout Optical filters Image motion analysis data mining Optical noise Gabor filters

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